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Facebook MCP Server

Facebook MCP Server

by tiroshanm
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

reply_to_comment

Reply to a specific comment on a Facebook post by providing the post ID, comment ID, and message.

Instructions

Replies to a comment on a specific post

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "post_id": "<post_id>",
      "comment_id": "<comment_id>",
      "message": "<message>"
    },
    "name": "reply_to_comment"
  }
}

Input Schema

NameRequiredDescriptionDefault
post_idYesID of the post
comment_idYesID of the comment
messageYesReply message

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations and no behavioral details in the description, the agent learns nothing about side effects (e.g., whether it notifies users, requires authentication, or has rate limits). This is a significant gap for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that efficiently conveys the core function without any redundant or irrelevant information. It is well-structured and to the point.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of output schema and annotations, the description fails to cover what happens after a reply (e.g., visibility, editing, or deletion possibilities). It omits necessary context for safe and effective use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides 100% coverage with descriptions for each parameter, but those descriptions are minimal (e.g., 'ID of the post') and add little beyond the parameter names. Per guidelines, high coverage yields a baseline of 3, though the descriptions don't enhance understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Replies') and the resource ('a comment on a specific post'), making the tool's purpose immediately understandable. It also stands out from sibling tools like delete_comment and filter_negative_comments, though it doesn't explicitly contrast them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives such as filter_negative_comments or get_post_comments. There are no prerequisites, usage contexts, or exclusions mentioned, leaving the agent to infer usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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